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제작자가 쓴 설명(영어 원문)
MCP server to search, inspect, and cross-reference RCSB Protein Data Bank structures
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"rcsb": {
"command": "uvx",
"args": [
"rcsb-mcp"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add rcsb -- uvx rcsb-mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"rcsb": {
"command": "uvx",
"args": [
"rcsb-mcp"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"rcsb": {
"type": "stdio",
"command": "uvx",
"args": [
"rcsb-mcp"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 6일 점검
레지스트리 이름이 GitHub 계정 rcsb 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.23.0)은 14일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Python (uv)도 있어야 해요.
같은 카테고리에는: Context7, Codebase Memory, Exa
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
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제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
An MCP server for interrogating Protein Data Bank structures — discover, inspect, and cross-reference — from LLM clients (Claude Desktop, MCP Inspector, Cursor, etc.). It spans three RCSB APIs:
Searching is two steps: build a query with an rcsb_query_* tool, then execute it with rcsb_search_request. The builders are pure — they return a query document (readable JSON plus a digest) and touch no network, so nothing is searched until you call `rcsb_search_request`. rcsb_query_composer joins two or more documents with AND/OR, which is also how a single search mixes services (e.g. sequence similarity AND an organism filter).
Build
| Tool | What it does |
|---|---|
rcsb_query_fulltext | Free-text keyword query (e.g. "CRISPR Cas9"). |
rcsb_query_attribute | Structured query on one or more indexed attributes (resolution, organism, release date, ...) joined by a single logical_operator. Each condition supports exists, negation, case_sensitive; chemical_attributes=True selects the chemical-component catalog. |
rcsb_query_sequence | MMseqs2 sequence-similarity query (BLAST-like), with identity / e-value cutoffs. |
rcsb_query_chemical | Chemical query by SMILES/InChI descriptor (whole-molecule or substructure) or molecular formula. |
rcsb_query_structure | 3D shape-similarity query against a reference PDB assembly or chain. |
rcsb_query_seqmotif | Short sequence-motif query (PROSITE pattern, regex, or simple wildcards). |
rcsb_query_strucmotif | 3D structural-motif query: a geometric arrangement of specific residues (e.g. a catalytic triad). |
rcsb_query_composer | Join 2+ query documents with AND/OR — nested boolean logic, and the only way to combine different services in one search. |
Run
| Tool | What it does |
|---|---|
rcsb_search_request | Execute a query document and return matching identifiers only. Carries every output option: return_type, limit/offset, all_hits, facets, sort_by/sort_direction, group_by/group_by_ranking, include_computed_models. |
Discover
| Tool | What it does |
|---|---|
rcsb_list_pdb_search_attributes | Discover searchable attribute paths, types, and operators. schema="structure" (default, ~636) or schema="chemical" (~58: chem_comp.*, drugbank_info.*, ...). Records also carry enum (closed value sets) and nested_group (attributes stored in nested objects — see below). |
rcsb_find_go_terms | Resolve a free-text molecular function / biological process / cellular component to Gene Ontology ids (via EBI QuickGO), annotated with PDB entry counts — then search by rcsb_polymer_entity_annotation.annotation_lineage.id. |
rcsb_find_interpro_domains | Resolve a free-text protein domain / family / fold to InterPro and Pfam ids (via EBI Search), annotated with PDB entry counts — then search by rcsb_polymer_entity_annotation.annotation_id. |
rcsb_find_enzyme_classes | Resolve a free-text enzyme / reaction to Enzyme Commission (EC) numbers (via EBI Search/IntEnz), annotated with PDB entry counts — then search by rcsb_polymer_entity.rcsb_ec_lineage.id (hierarchical). |
rcsb_find_disease_terms | Resolve a free-text disease / condition to MONDO ids (via EBI OLS), annotated with PDB entry counts — then search by rcsb_uniprot_annotation.annotation_lineage.id (hierarchical, UniProt-based). |
rcsb_find_organisms | Resolve a free-text organism / common name / clade to NCBI Taxonomy ids (via UniProt taxonomy), annotated with PDB entry counts — then search by rcsb_entity_source_organism.taxonomy_lineage.id (hierarchical: a clade id matches every organism beneath it). |
Both attribute catalogs are generated from the live metadata schemas by scripts/generate_search_attributes.py. To search chemical-component attributes, find the path with rcsb_list_pdb_search_attributes(schema="chemical"), pass chemical_attributes=True to rcsb_query_attribute, and usually set return_type="mol_definition".
Nested attributes. An object can hold many annotations, many binding affinities, many citations. For attributes carrying a nested_group, the query shape selects the semantics: conditions built in one rcsb_query_attribute call, with nothing else in it, must hold on the same record; conditions in separate calls are matched independently against any record. Both are valid and mean different things — type=Kd with value<1 describes one measurement, while an InterPro id and a GO type are necessarily two different annotations.
Counting and faceting are output options on rcsb_search_request, not separate tools: every response includes total_count (the full match count — for "how many ..." run the search with limit=1 and read it), and passing facets returns a breakdown (terms/histogram/date_histogram/range/cardinality) instead of hits. A terms facet also tells you what your hits share, which is how a handful of results becomes a re-searchable value.
Grouping. group_by returns one representative per cluster — seqid_30 … seqid_95 for sequence-identity clusters, or uniprot to collapse by accession — with group_by_ranking choosing the representative. Requires return_type="polymer_entity"; the response reports group_count alongside total_count.
Sorting. sort_by (an attribute path) + sort_direction (asc/desc) replaces the default score ordering (for similarity searches this overrides the similarity-ranked order). Only attributes indexed for sorting work — those exposing exact_match (strings) or equals (numbers/dates) in rcsb_list_pdb_search_attributes; sorting is not available for return_type="mol_definition".
Paging. rcsb_search_request accepts limit (1–100, default 10) and offset (default 0), and each response reports total_count, has_more, and next_offset — call again with the same query document and offset=next_offset. For an explicit "ALL ..." request, all_hits=True returns the complete set in one call (refused above 10,000 hits, and it cannot be combined with offset).
There is one tool per Data API GraphQL root field. Each takes a list of IDs (singular lookups = a one-element list) plus an optional fields argument to override the curated default selection with your own GraphQL sub-selection. Unknown IDs are reported under not_found. Discover the paths to put in fields with rcsb_describe_data_object — browse a level, drill into a nested object with into=, or search the schema by keyword with query= + max_depth=. Every path it returns is verified against the live schema, so don't guess field names.
| Tool | Object | Example ID |
|---|---|---|
rcsb_get_entries | PDB entries | "4HHB" |
rcsb_get_polymer_entities | Polymer entities (protein/NA) | "4HHB_1" |
rcsb_get_nonpolymer_entities | Ligand/cofactor entities | "4HHB_3" |
rcsb_get_branched_entities | Carbohydrate entities | "5FMB_2" |
rcsb_get_polymer_entity_instances | Polymer chains | "4HHB.A" |
rcsb_get_nonpolymer_entity_instances | Bound-ligand instances | "4HHB.E" |
rcsb_get_branched_entity_instances | Glycan chains | "5FMB.C" |
rcsb_get_assemblies | Biological assemblies | "4HHB-1" |
rcsb_get_interfaces | Assembly interfaces | "1BMV-1.1" |
rcsb_get_chem_comps | Chemical components / ligands | "HEM", "ATP" |
rcsb_get_entry_groups | Entry groups | "G_1002266" |
rcsb_get_polymer_entity_groups | Polymer entity groups (seq. clusters) | "85_70" |
rcsb_get_nonpolymer_entity_groups | Non-polymer entity groups | "ATP" |
rcsb_get_uniprot | UniProt record (single) | "P69905" |
rcsb_get_pubmed | PubMed record (single, integer) | 6726807 |
rcsb_get_group_provenance | Grouping provenance (single) | "provenance_sequence_identity" |
rcsb_describe_data_object | Introspect an object's live GraphQL schema to build a fields= selection: browse a level, drill into a nested object with into=, or search by keyword with query= + max_depth= (flat, incl. nested + cross-object paths). Returns verified dotted paths. The Data API analogue of rcsb_list_pdb_search_attributes. | — |
The Search API only returns identifiers, so a search is the first step: batch the returned ids into the matching rcsb_get_* tool to fetch titles, organisms, and other metadata (these tools query the GraphQL endpoint, batching every requested ID into one request). All 16 typed tools are generated from a single registry in queries.py (DATA_OBJECTS), so adding a field or endpoint is a one-line change.
Maps alignments and positional annotations between sequence reference systems (UNIPROT, NCBI_PROTEIN, NCBI_GENOME, PDB_ENTITY, PDB_INSTANCE). Each tool takes an optional fields argument to override the default selection; use rcsb_describe_seqcoord_object to discover what fields are available.
This is the only RCSB API that cross-references NCBI (RefSeq protein / genome) — the Data API only knows UniProt. So "what NCBI proteins map to a PDB structure?" is answered by rcsb_seqcoord_alignments, not the Data API. PDB query ids must be entity-level (4HHB_1), not a bare entry (4HHB); for a whole entry, query each polymer entity.
| Tool | What it does |
|---|---|
rcsb_seqcoord_alignments | Cross-reference a sequence across PDB / UniProt / NCBI with aligned ranges (e.g. 4HHB_1 → NCBI proteins NP_000508, NP_000549). |
rcsb_seqcoord_annotations | Positional features of a PDB entity or instance (7CUT_1, 4HHB.A) from UniProt, the entity, its instances and their interfaces, optionally only some feature_types (ACTIVE_SITE); the sources follow from the types. |
rcsb_describe_seqcoord_object | Introspect the live schema to discover fields available on a seqcoord object (for use with fields=). |
| Tool | What it does |
|---|---|
rcsb_render_report | Render a structured report of search results — title, columns, rows and evidence — into a formatted HTML document for the user. |
RCSB hosts the server, so most clients need no install — point them at https://mcp-beta.rcsb.org/mcp (see Connect an agent). Install only to run it yourself, pin a version, or develop against it:
# run the published package without installing
uvx rcsb-mcp
pip install rcsb-mcp
rcsb-mcp is listed in the Official MCP Registry as io.github.rcsb/rcsb-mcp, so registry-aware clients can discover it directly.
For local development, install from the project root instead:
pip install -e .
uv pip install -e .
`
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요